docs: def from_dataset(cls, dataset, constraints = (), **kwargs):
          """Construct a optimized inverse model from an existing dataset.
          A LWLR forward model is constructed by default.
          """
          fm = LWLRForwardModel(dataset.dim_x, dataset.dim_y, **kwargs)
          fm.dataset = dataset
          im = cls.from_forward(fm, constraints = constraints, **kwargs)
          return im